The number of traffic accidents and injuries continues to increase year by year which causes loss of life and assets. The key facts from the World Health Organization (WHO), approximately 1.35 million people die each year as a result of road traffic crashes. Under this condition, to reduce the number of deadly accidents, the lane detection system is applied in an autonomous vehicle to increase the vehicle safety and passenger safety. The lane detection is one of the computer vision-based systems for driver assistance, as it uses an existing lane marking where the image is captured by the onboard camera mounted in the rear-view mirror facing the front of the vehicle. The proposed algorithm that has been created can detect a lane marking under variable condition of the road such as in the case of urban roads or highways with different printed marks as solid or dashed lines. Furthermore, the algorithm is designed for real-time applications.


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    Titel :

    Lane Detection Using Image Processing for Driving Assistance


    Weitere Titelangaben:

    Adv Struct Mater


    Beteiligte:


    Erscheinungsdatum :

    23.02.2021


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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